Image showing MTL contour, marsh edge, and example of calculating the marsh edge
Amy S Farris
I have worked primarily on calculating shoreline position on sandy coasts usually from lidar data
Education and Certifications
Master's in Physical Oceanography from URI (1995)
Bachelor's in Physics from Denison University (1992)
Science and Products
Digital Shoreline Analysis System (DSAS)
Software for calculating positional boundary change over time The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions...
Filter Total Items: 17
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from various historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. Shorelines are compiled in a GIS and analyzed in the USGS Digital Shoreline Analysis System (DSAS) software to calculate rates of...
Topographic data, imagery, and GPS data collected during uncrewed aircraft system (UAS) operations at Town Neck Beach, Sandwich, Massachusetts Topographic data, imagery, and GPS data collected during uncrewed aircraft system (UAS) operations at Town Neck Beach, Sandwich, Massachusetts
Small Uncrewed Aircraft Systems (sUAS) were used to collect aerial remote sensing data over Town Neck Beach, a highly trafficked local beach in Sandwich Massachusetts with parking lot, boardwalk, and state maintained sand and vegetation placement. USGS personnel collected natural (RGB) color images, LiDAR, and ground control points starting in December 2023 to support multiple science...
Beach foreshore slope for the Gulf Coast of the United States Beach foreshore slope for the Gulf Coast of the United States
This data release contains foreshore slopes for primarily open-ocean sandy beaches along the United States portion of the Gulf of Mexico (Texas through Florida). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 2001 and 2018. The shoreline positions have been previously published, but the slopes have not. An alongshore reference...
Digital Shoreline Analysis System (version 6) Digital Shoreline Analysis System (version 6)
The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for
Beach foreshore slope for the East Coast of the United States Beach foreshore slope for the East Coast of the United States
This data release contains foreshore slopes for primarily open-ocean sandy beaches along the East Coast of the United States (Maine through Florida). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 1997 and 2018. The shoreline positions have been previously published, but the slopes have not. A reference baseline was defined...
Beach foreshore slope for the West Coast of the United States (ver. 1.1, September 2024) Beach foreshore slope for the West Coast of the United States (ver. 1.1, September 2024)
This data release contains foreshore slopes for primarily open-ocean sandy beaches along the west coast of the United States (California, Oregon and Washington). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 2002 and 2011. The shoreline positions have been previously published, but the slopes have not. A reference baseline...
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to 2010s for the coast of California National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to 2010s for the coast of California
In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural...
USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...
USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...
USGS National Shoreline Change — A GIS compilation of vector shorelines and associated shoreline change data for coastal Virginia from the 1840s to 2010s USGS National Shoreline Change — A GIS compilation of vector shorelines and associated shoreline change data for coastal Virginia from the 1840s to 2010s
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts. USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts.
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic...
Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia
During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey...
Marsh edge browse graphhic
Image showing MTL contour, marsh edge, and example of calculating the marsh edge
Filter Total Items: 13
Accuracy of shoreline forecasting using sparse data Accuracy of shoreline forecasting using sparse data
Sandy beaches are important resources providing recreation, tourism, habitat, and coastal protection. They evolve over various time scales due to local winds, waves, storms, and changes in sea level. A common method used to monitor change in sandy beaches is to measure the movement of the shoreline over time. Typically, the rate of change is estimated by fitting a linear regression...
Authors
Amy Farris, Joseph Long, Emily Himmelstoss
Processes controlling coastal erosion along Cape Cod Bay, MA Processes controlling coastal erosion along Cape Cod Bay, MA
Cape Cod Bay, MA, is a semi-enclosed embayment in the northeastern United States, open on the north to the Gulf of Maine. The coastline experiences impacts typically from strong Nor’easter storms that occur in the late fall or winter months, with some sections of this coastline being affected more severely than others. We investigate the processes that cause spatial variability in storm...
Authors
John Warner, Laura Brothers, Emily Himmelstoss, Christopher Sherwood, Alfredo Aretxabaleta, David Foster, Amy Farris
Digital Shoreline Analysis System (DSAS) version 5.1 user guide Digital Shoreline Analysis System (DSAS) version 5.1 user guide
The Digital Shoreline Analysis System version 5 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions. The Digital Shoreline Analysis System provides an automated method for establishing measurement locations, performs rate calculations, provides the statistical data...
Authors
Emily Himmelstoss, Rachel Henderson, Meredith Kratzmann, Amy Farris
Identifying salt marsh shorelines from remotely sensed elevation data and imagery Identifying salt marsh shorelines from remotely sensed elevation data and imagery
Salt marshes are valuable ecosystems that are vulnerable to lateral erosion, submergence, and internal disintegration due to sea-level rise, storms, and sediment deficits. Because many salt marshes are losing area in response to these factors, it is important to monitor their lateral extent at high resolution over multiple timescales. In this study we describe two methods to calculate...
Authors
Amy Farris, Zafer Defne, Neil K. Ganju
Digital Shoreline Analysis System (DSAS) version 5.0 user guide Digital Shoreline Analysis System (DSAS) version 5.0 user guide
Overview The Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Esri Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. DSAS version 5.0 (v5.0) was released in December 2018 and has been tested for compatibility with ArcGIS versions 10.4 and 10.5. It is...
Authors
Emily Himmelstoss, Rachel Henderson, Meredith G. Kratzmann, Amy Farris
Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data
The U.S. Geological Survey Coastal and Marine Geology Program uses three methods to derive a datum-based, mean high water shoreline on open-ocean coasts from light detection and ranging (lidar) elevation surveys. This work compared the shorelines produced by the three methods for two different surveys: one survey with simple beach morphology, and one survey with complex beach morphology...
Authors
Amy Farris, Kathryn Weber, Kara Doran, Jeffrey List
UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery
The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution...
Authors
Emily Sturdivant, Erika Lentz, E. Thieler, Amy Farris, Kathryn Weber, David Remsen, Simon Miner, Rachel Henderson
Using topographic lidar data to delineate the North Carolina Shoreline Using topographic lidar data to delineate the North Carolina Shoreline
In North Carolina, shoreline change rates are an important component of the state's coastal management program. To enhance methods of measuring shoreline change, the NC Division of Coastal Management (DCM) is considering using mean high water (MHW) shorelines extracted from lidar data together with traditional wet/dry shorelines digitized from aerial photography. To test their...
Authors
Patrick W. Limber, Jeffrey H. List, Jeffrey Warren, Amy S. Farris, Kathryn M. Weber
Shoreline change as a proxy for subaerial beach volume change Shoreline change as a proxy for subaerial beach volume change
It is difficult and expensive to calculate changes in sediment volume for large sections of sandy beaches. Shoreline change could be a useful proxy for volume change because it can be collected quickly and relatively easily over long distances. In this paper, we summarize several studies that find a high correlation between shoreline change and subaerial volume change. We also examine...
Authors
Amy S. Farris, Jeffrey H. List
Reversing storm hotspots on sandy beaches: Spatial and temporal characteristics Reversing storm hotspots on sandy beaches: Spatial and temporal characteristics
Coastal erosion hotspots are defined as sections of coast that exhibit significantly higher rates of erosion than adjacent areas. This paper describes the spatial and temporal characteristics of a recently identified type of coastal erosion hotspot, which forms in response to storms on uninterrupted sandy coasts largely free from human intervention. These are referred to here as...
Authors
J. List, A.S. Farris, C. Sullivan
Links between erosional hotspots and alongshore sediment transport Links between erosional hotspots and alongshore sediment transport
No abstract available.
Authors
Andrew Ashton, Jeffrey H. List, A. Murray, Amy S. Farris
Bottom currents and sediment transport in Long Island Sound: A modeling study Bottom currents and sediment transport in Long Island Sound: A modeling study
A high resolution (300-400 m grid spacing), process oriented modeling study was undertaken to elucidate the physical processes affecting the characteristics and distribution of sea-floor sedimentary environments in Long Island Sound. Simulations using idealized forcing and high-resolution bathymetry were performed using a three-dimensional circulation model ECOM (Blumberg and Mellor...
Authors
R. Signell, J. List, A.S. Farris
Digital Shoreline Analysis System (version 6) Digital Shoreline Analysis System (version 6)
The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for...
Digital Shoreline Analysis System Digital Shoreline Analysis System
Digital Shoreline Analysis System version 5.0
Science and Products
Digital Shoreline Analysis System (DSAS)
Software for calculating positional boundary change over time The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions...
Filter Total Items: 17
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from various historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. Shorelines are compiled in a GIS and analyzed in the USGS Digital Shoreline Analysis System (DSAS) software to calculate rates of...
Topographic data, imagery, and GPS data collected during uncrewed aircraft system (UAS) operations at Town Neck Beach, Sandwich, Massachusetts Topographic data, imagery, and GPS data collected during uncrewed aircraft system (UAS) operations at Town Neck Beach, Sandwich, Massachusetts
Small Uncrewed Aircraft Systems (sUAS) were used to collect aerial remote sensing data over Town Neck Beach, a highly trafficked local beach in Sandwich Massachusetts with parking lot, boardwalk, and state maintained sand and vegetation placement. USGS personnel collected natural (RGB) color images, LiDAR, and ground control points starting in December 2023 to support multiple science...
Beach foreshore slope for the Gulf Coast of the United States Beach foreshore slope for the Gulf Coast of the United States
This data release contains foreshore slopes for primarily open-ocean sandy beaches along the United States portion of the Gulf of Mexico (Texas through Florida). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 2001 and 2018. The shoreline positions have been previously published, but the slopes have not. An alongshore reference...
Digital Shoreline Analysis System (version 6) Digital Shoreline Analysis System (version 6)
The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for
Beach foreshore slope for the East Coast of the United States Beach foreshore slope for the East Coast of the United States
This data release contains foreshore slopes for primarily open-ocean sandy beaches along the East Coast of the United States (Maine through Florida). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 1997 and 2018. The shoreline positions have been previously published, but the slopes have not. A reference baseline was defined...
Beach foreshore slope for the West Coast of the United States (ver. 1.1, September 2024) Beach foreshore slope for the West Coast of the United States (ver. 1.1, September 2024)
This data release contains foreshore slopes for primarily open-ocean sandy beaches along the west coast of the United States (California, Oregon and Washington). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 2002 and 2011. The shoreline positions have been previously published, but the slopes have not. A reference baseline...
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to 2010s for the coast of California National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to 2010s for the coast of California
In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural...
USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...
USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...
USGS National Shoreline Change — A GIS compilation of vector shorelines and associated shoreline change data for coastal Virginia from the 1840s to 2010s USGS National Shoreline Change — A GIS compilation of vector shorelines and associated shoreline change data for coastal Virginia from the 1840s to 2010s
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts. USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts.
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic...
Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia
During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey...
Marsh edge browse graphhic
Image showing MTL contour, marsh edge, and example of calculating the marsh edge
Image showing MTL contour, marsh edge, and example of calculating the marsh edge
Filter Total Items: 13
Accuracy of shoreline forecasting using sparse data Accuracy of shoreline forecasting using sparse data
Sandy beaches are important resources providing recreation, tourism, habitat, and coastal protection. They evolve over various time scales due to local winds, waves, storms, and changes in sea level. A common method used to monitor change in sandy beaches is to measure the movement of the shoreline over time. Typically, the rate of change is estimated by fitting a linear regression...
Authors
Amy Farris, Joseph Long, Emily Himmelstoss
Processes controlling coastal erosion along Cape Cod Bay, MA Processes controlling coastal erosion along Cape Cod Bay, MA
Cape Cod Bay, MA, is a semi-enclosed embayment in the northeastern United States, open on the north to the Gulf of Maine. The coastline experiences impacts typically from strong Nor’easter storms that occur in the late fall or winter months, with some sections of this coastline being affected more severely than others. We investigate the processes that cause spatial variability in storm...
Authors
John Warner, Laura Brothers, Emily Himmelstoss, Christopher Sherwood, Alfredo Aretxabaleta, David Foster, Amy Farris
Digital Shoreline Analysis System (DSAS) version 5.1 user guide Digital Shoreline Analysis System (DSAS) version 5.1 user guide
The Digital Shoreline Analysis System version 5 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions. The Digital Shoreline Analysis System provides an automated method for establishing measurement locations, performs rate calculations, provides the statistical data...
Authors
Emily Himmelstoss, Rachel Henderson, Meredith Kratzmann, Amy Farris
Identifying salt marsh shorelines from remotely sensed elevation data and imagery Identifying salt marsh shorelines from remotely sensed elevation data and imagery
Salt marshes are valuable ecosystems that are vulnerable to lateral erosion, submergence, and internal disintegration due to sea-level rise, storms, and sediment deficits. Because many salt marshes are losing area in response to these factors, it is important to monitor their lateral extent at high resolution over multiple timescales. In this study we describe two methods to calculate...
Authors
Amy Farris, Zafer Defne, Neil K. Ganju
Digital Shoreline Analysis System (DSAS) version 5.0 user guide Digital Shoreline Analysis System (DSAS) version 5.0 user guide
Overview The Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Esri Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. DSAS version 5.0 (v5.0) was released in December 2018 and has been tested for compatibility with ArcGIS versions 10.4 and 10.5. It is...
Authors
Emily Himmelstoss, Rachel Henderson, Meredith G. Kratzmann, Amy Farris
Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data
The U.S. Geological Survey Coastal and Marine Geology Program uses three methods to derive a datum-based, mean high water shoreline on open-ocean coasts from light detection and ranging (lidar) elevation surveys. This work compared the shorelines produced by the three methods for two different surveys: one survey with simple beach morphology, and one survey with complex beach morphology...
Authors
Amy Farris, Kathryn Weber, Kara Doran, Jeffrey List
UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery
The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution...
Authors
Emily Sturdivant, Erika Lentz, E. Thieler, Amy Farris, Kathryn Weber, David Remsen, Simon Miner, Rachel Henderson
Using topographic lidar data to delineate the North Carolina Shoreline Using topographic lidar data to delineate the North Carolina Shoreline
In North Carolina, shoreline change rates are an important component of the state's coastal management program. To enhance methods of measuring shoreline change, the NC Division of Coastal Management (DCM) is considering using mean high water (MHW) shorelines extracted from lidar data together with traditional wet/dry shorelines digitized from aerial photography. To test their...
Authors
Patrick W. Limber, Jeffrey H. List, Jeffrey Warren, Amy S. Farris, Kathryn M. Weber
Shoreline change as a proxy for subaerial beach volume change Shoreline change as a proxy for subaerial beach volume change
It is difficult and expensive to calculate changes in sediment volume for large sections of sandy beaches. Shoreline change could be a useful proxy for volume change because it can be collected quickly and relatively easily over long distances. In this paper, we summarize several studies that find a high correlation between shoreline change and subaerial volume change. We also examine...
Authors
Amy S. Farris, Jeffrey H. List
Reversing storm hotspots on sandy beaches: Spatial and temporal characteristics Reversing storm hotspots on sandy beaches: Spatial and temporal characteristics
Coastal erosion hotspots are defined as sections of coast that exhibit significantly higher rates of erosion than adjacent areas. This paper describes the spatial and temporal characteristics of a recently identified type of coastal erosion hotspot, which forms in response to storms on uninterrupted sandy coasts largely free from human intervention. These are referred to here as...
Authors
J. List, A.S. Farris, C. Sullivan
Links between erosional hotspots and alongshore sediment transport Links between erosional hotspots and alongshore sediment transport
No abstract available.
Authors
Andrew Ashton, Jeffrey H. List, A. Murray, Amy S. Farris
Bottom currents and sediment transport in Long Island Sound: A modeling study Bottom currents and sediment transport in Long Island Sound: A modeling study
A high resolution (300-400 m grid spacing), process oriented modeling study was undertaken to elucidate the physical processes affecting the characteristics and distribution of sea-floor sedimentary environments in Long Island Sound. Simulations using idealized forcing and high-resolution bathymetry were performed using a three-dimensional circulation model ECOM (Blumberg and Mellor...
Authors
R. Signell, J. List, A.S. Farris
Digital Shoreline Analysis System (version 6) Digital Shoreline Analysis System (version 6)
The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for...
Digital Shoreline Analysis System Digital Shoreline Analysis System
Digital Shoreline Analysis System version 5.0